[Job-30949] Sr/Principal Data Architect, Brazil
在 CI&T,我们帮助大型企业将人工智能的潜力转化为真正的商业影响。AI 部署，AI 原生执行和技术集成商业解决方案。在技术转型方面30年的经验，我们通过 Agentic SDLC,应用现代化，数据与 AI,Martech 和商业战略方面的专业知识加速创新。我们有超过25个国家的8,000名 CI&T 员工，共同构建具有实际影响力的解决方案。人工智能已经是我们每天工作，发展和创新的组成部分。我们正在寻找一名高级/主任数据架构师，以领导复杂企业环境的现代化，可扩展和 AI 准备好数据架构设计和发展。这是一个高级技术领导角色，需要在数据架构，云，现代数据平台以及 Data 的新兴 AI / 代理方法方面的强大专业知识。理想候选人将能够将复杂的商业要求转换为坚实的技术架构，同时向工程团队提供技术指导和引导。关键责任 ·设计并定义与业务和技术战略一致的可扩展，安全，高性能数据架构。· 作为数据工程和分析团队的技术参考和建筑领导者。· 为现代数据平台定义架构模式，标准，最佳实践和技术战略。· 使用现代技术设计和发展湖泊/云数据平台架构。· 引领包括 Databricks 和/或雪在内的架构倡议。· 在 AWS 和/或 Azure 云环境中设计和实施数据解决方案。· 定义数据集成，摄入，转型，存储，治理，安全和消费模式。·评估基于可扩展性，性能，成本，安全和业务价值的新兴技术并建议解决方案。· 与数据工程师，数据科学家，分析团队，产品管理员和业务利益相关者合作。· 提供技术辅导和指导给工程团队并支持建筑决策。· 贡献于定义和实施 AI 准备的数据架构，包括利用代理人和数据 Agentic 方法解决方案。· 在现代数据工程和建筑场景中探索和应用 Agentic AI 模式，AI 代理和 SDD （规范驱动开发）. ·确保建筑决定遵循企业标准来实现
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At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
We are looking for a Senior / Principal Data Architect to lead the design and evolution of modern, scalable, and AI-ready data architectures for complex enterprise environments.
This is a senior technical leadership role requiring strong expertise in Data Architecture, Cloud, modern data platforms, and emerging AI/Agentic approaches for Data. The ideal candidate will be able to translate complex business requirements into robust technical architectures while providing technical direction and guidance to engineering teams.
Key Responsibilities
- Design and define scalable, secure, high-performance data architectures aligned with business and technology strategies.
- Act as a technical reference and architecture leader for Data Engineering and Analytics teams.
- Define architecture patterns, standards, best practices, and technology strategies for modern data platforms.
- Design and evolve Lakehouse / Cloud Data Platform architectures using modern technologies.
- Lead architecture initiatives involving Databricks and/or Snowflake.
- Design and implement data solutions across AWS and/or Azure cloud environments.
- Define data integration, ingestion, transformation, storage, governance, security, and consumption patterns.
- Evaluate emerging technologies and recommend solutions based on scalability, performance, cost, security, and business value.
- Collaborate with Data Engineers, Data Scientists, Analytics teams, Product Managers, and business stakeholders.
- Provide technical mentorship and guidance to engineering teams and support architectural decision-making.
- Contribute to the definition and implementation of AI-ready data architectures, including solutions leveraging Agents and Agentic approaches for Data.
- Explore and apply Agentic AI patterns, AI Agents, and SDD (Specification-Driven Development) in modern data engineering and architecture scenarios.
- Ensure architecture decisions follow enterprise standards for security, governance, quality, scalability, and maintainability.
Required Qualifications
- Advanced English – C1 or above, with strong communication skills in international environments.
- Extensive experience in Data Architecture and Data Engineering, preferably in complex enterprise environments.
- Strong expertise in Databricks OR Snowflake.
- Strong knowledge of at least one major cloud platform: AWS OR Azure.
- Strong understanding of modern data architecture patterns, including Lakehouse, data platforms, data integration, data modeling, and data governance.
- Experience designing end-to-end data solutions and translating business requirements into technical architecture.
- Strong knowledge of AI/Agentic approaches for Data, including AI Agents, Agentic Architecture, or Agentic Data solutions.
- Knowledge or practical experience with SDD (Specification-Driven Development) and its application to software/data engineering.
- Strong architectural decision-making and technical leadership skills.
- Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Nice to Have
- Experience with both Databricks and Snowflake.
- Experience with both AWS and Azure.
- Experience implementing LLM-powered solutions, AI Agents, or Agentic workflows.
- Experience with frameworks and technologies related to Generative AI and Agentic AI.
- Experience defining enterprise-level Data Governance, Security, and Data Quality strategies.
- Experience working with global teams and international clients.
Our benefits:
-Health and dental insurance
-Meal and food allowance
-Childcare assistance
-Extended paternity leave
-Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
-Profit Sharing and Results Participation (PLR);
-Life insurance
-Continuous learning platform (CI&T University);
-Discount club
-Free online platform dedicated to physical, mental, and overall well-being
-Pregnancy and responsible parenting course
-Partnerships with online learning platforms
-Language learning platform
And many more!
More details about our benefits here:
At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.
We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.
Originally posted on Himalayas